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Stores and queries continuous application profiles to reveal resource use down to code-level details.

Add time-series storage and analysis to PostgreSQL without replacing its SQL interface.

Model continuous-delivery pipelines and trace changes from source to deployment.

Continuously fuzz accepted open-source projects to find crashes and other input-handling bugs.

Define pull-request, build, and deployment jobs in screwdriver.yaml with pluggable execution engines.

Collect continuous CPU and memory profiles, then compare code paths over time.

Find production performance bottlenecks in PHP and Python applications, then inspect the responsible code paths.

Use continuous and categorical colour maps in Python visualizations.

Cross-chain crypto conversion through aggregated exchange liquidity

Promote application configuration through GitOps stages so a GitOps agent can deploy each stage.

Run repository builds after pushes using a versioned `.travis.yml` configuration.

Continuously runs .NET tests in Visual Studio or Rider and reports results as code changes.

Run repository builds, tests, and release steps in workflows defined by CircleCI configuration.

Coordinate multi-cloud releases with trigger-driven deployment pipelines.

Keep Kubernetes applications in sync with their declared configuration in Git.

Promote releases through environments and coordinate deployments beyond the build stage.

Advance application releases through configured deployment targets.

Model source changes, build tasks, and releases as resource-driven pipelines.

Self-hosted full-stack observability with eBPF telemetry and service-level insights.

Automate AWS software releases as source, build, and deployment stages.

Reconcile Kubernetes applications and configuration from Git repositories.

Continuous synchronization between devices you approve

Focused browser calculators for statistical questions

Action-sports programmes with a continuous channel and library